Learn Python - AI with Python Django Flask CherryPY AI ML with Compiler. You can learn
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and much more.

If You are a new developer and thinking of learning Python Programming or starting python Programming then this app is going to be your best friend or if you are already a Python Developer then this app will be a great pocket reference guide for your day to day python Programming so you can become a better python developer.

Here is what you will get and learn by installing this Python Programming app:

When to use Python 2 and when to use Python 3.
How to install Python on Windows Mac and Linux.
How to prepare your computer for Python programming.
The various ways to run a Python program on Windows Mac and Linux.
Suggested text editors and integrated development environments to use when coding in Python.
How to work with various data types including strings lists tuples dictionaries booleans and more.
What variables are and when to use them.
How to perform mathematical operations using Python.
How to capture input from a user.
Ways to control the flow of your programs.
The importance of white space in Python.
How to organize your Python programs -- Learn what goes where.
What modules are when you should use them and how to create your own.
How to define and use functions.
Important built-in Python functions that you'll use often.
How to read from and write to files.



Topics Included in this app
1) Introduction to Python
2) Python Features
3) Python History
4) Application of Python
5) How to Install Python
6) Python Programs
7) Python Variables
8) Data Types in Python
9) Keywords in Python
10) Literals in Python
11) Python Operator
12) Comments in Python
13) If-else statement in Python
14) Python Loops
15) Python For loop
16) While loop in Python
17) Break statement in Python
18) Continue Statement in Python
19) Python Pass
20) Python String
21) Python List
22) Python Tuple
23) Python Set Dictionary
24) Functions of Python
25) Built-in Functions of Python
26) Lambda Functions of Python
27) File Handling in Python
28) Exceptions in Python
29) Date and time in Python
30) Regular Expressions of Python
31) Sending Email using SMTP in Python
32) CSV file in Python 3
33) Write csv file in Python 3
34) Read excel file in Python 3
35) Write excel file in Python 3
36) Python 3 Assert Keyword
37) Python 3 List Comprehension
38) Python 3 Collection Module
39) Python 3 Math module
40) Python 3 OS Module
41) Random module of Python 3
42) Statistics module in Python 3
43) IDEs of Python 3
44) Array in Python 3
45) Command line arguments of Python 3
46) Magic method of Python 3
47) Stack and Queue in Python
48) Decorator in Python
49) Generators of Python
50) Web scraping using Python
51) JSON using Python
52) Iter tools in Python
53) ooPs concepts of Python
54) Python Constructor
55) Python Inheritance